4.7 Article

A Conventional Cruise and Felled-Tree Validation of Individual Tree Diameter, Height and Volume Derived from Airborne Laser Scanning Data of a Loblolly Pine (P. taeda) Stand in Eastern Texas

Related references

Note: Only part of the references are listed.
Article Forestry

Accuracy of a LiDAR-Based Individual Tree Detection and Attribute Measurement Algorithm Developed to Inform Forest Products Supply Chain and Resource Management

Aaron M. Sparks et al.

Summary: In this study, the ability of the ForestView(R) algorithm to detect individual trees, classify tree species, live/dead status, canopy position, and estimate height and DBH in a complex forest was assessed. The algorithm showed high accuracy in stands with lower canopy cover but lower accuracy in stands with higher canopy cover.

FORESTS (2022)

Article Forestry

Use of Individual Tree and Product Level Data to Improve Operational Forestry

Robert F. Keefe et al.

Summary: This paper reviews the current status of individual tree detection methods and technologies, explores knowledge gaps in operational forestry and forest operations research, and proposes several areas for improved efficiencies in forest operations, such as using wearable technology to map seedlings during planting, optimizing harvesting and landing based on prior information, and networking product tracking across multiple machines.

CURRENT FORESTRY REPORTS (2022)

Review Forestry

From comprehensive field inventories to remotely sensed wall-to-wall stand attribute data - a brief history of management inventories in the Nordic countries

M. Maltamo et al.

Summary: Forest management inventories provide critical information for forest management planning at the stand level. The use of wall-to-wall remote-sensing data has enabled a paradigm shift from subjective visual assessments to model-based inferences. While advances in optical and Lidar-based sensors have improved accuracy in forest attribute estimation, challenges remain in obtaining species-specific stand attribute information and assessing tree quality in mixed stands.

CANADIAN JOURNAL OF FOREST RESEARCH (2021)

Article Environmental Sciences

Parameterization of the Individual Tree Detection Method Using Large Dataset from Ground Sample Plots and Airborne Laser Scanning for Stands Inventory in Coniferous Forest

Lukasz Kolendo et al.

Summary: This paper discusses the importance of accurate and extensive datasets for the practical implementation of precision forestry, as well as the necessity of proper data processing and algorithm optimization. Through empirical verification and parameter optimization, it demonstrates the crucial importance of the quality of empirical data for accurately evaluating algorithm accuracy.

REMOTE SENSING (2021)

Article Environmental Sciences

A New Quantitative Approach to Tree Attributes Estimation Based on LiDAR Point Clouds

Guangpeng Fan et al.

REMOTE SENSING (2020)

Article Agriculture, Multidisciplinary

Forest inventory with high-density UAV-Lidar: Machine learning approaches for predicting individual tree attributes

Ana Paula Dalla Corte et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)

Article Remote Sensing

Mapping individual trees with airborne laser scanning data in an European lowland forest using a self-calibration algorithm

Krzysztof Sterenczak et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2020)

Article Forestry

Stem taper equations for three major conifer species of Northeast China

Amna Hussain et al.

SCANDINAVIAN JOURNAL OF FOREST RESEARCH (2020)

Article Geochemistry & Geophysics

A Growth-Model-Driven Technique for Tree Stem Diameter Estimation by Using Airborne LiDAR Data

Claudia Paris et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)

Article Forestry

Estimating individual-tree aboveground biomass of tree species in the western USA

Krishna P. Poudel et al.

CANADIAN JOURNAL OF FOREST RESEARCH (2019)

Article Remote Sensing

Comparison of models describing forest inventory attributes using standard and voxel-based lidar predictors across a range of pulse densities

Grant D. Pearse et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2019)

Article Geography, Physical

Large off-nadir scan angle of airborne LiDAR can severely affect the estimates of forest structure metrics

Jing Liu et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2018)

Article Remote Sensing

Development of Height-Volume Relationships in Second Growth Abies grandis for Use with Aerial LiDAR

Wade T. Tinkham et al.

CANADIAN JOURNAL OF REMOTE SENSING (2016)

Article Remote Sensing

Imputation of Individual Longleaf Pine (Pinus palustris Mill.) Tree Attributes from Field and LiDAR Data

Carlos A. Silva et al.

CANADIAN JOURNAL OF REMOTE SENSING (2016)

Article Geochemistry & Geophysics

A Hierarchical Approach to Three-Dimensional Segmentation of LiDAR Data at Single-Tree Level in a Multilayered Forest

Claudia Paris et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2016)

Article Remote Sensing

Development of Height-Volume Relationships in Second Growth Abies grandis for Use with Aerial LiDAR

Wade T. Tinkham et al.

CANADIAN JOURNAL OF REMOTE SENSING (2016)

Article Remote Sensing

Imputation of Individual Longleaf Pine (Pinus palustris Mill.) Tree Attributes from Field and LiDAR Data

Carlos A. Silva et al.

CANADIAN JOURNAL OF REMOTE SENSING (2016)

Article Geochemistry & Geophysics

A Comparative Study of Predicting DBH and Stem Volume of Individual Trees in a Temperate Forest Using Airborne Waveform LiDAR

Jianwei Wu et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2015)

Article Remote Sensing

Forest inventories by LiDAR data: A comparison of single tree segmentation and metric-based methods for inventories of a heterogeneous temperate forest

Hooman Latifi et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2015)

Review Forestry

A review of the challenges and opportunities in estimating above ground forest biomass using tree-level models

Hailemariam Temesgen et al.

SCANDINAVIAN JOURNAL OF FOREST RESEARCH (2015)

Article Forestry

Efficiency of alternative forest inventory methods in partially harvested stands

Ben Rice et al.

EUROPEAN JOURNAL OF FOREST RESEARCH (2014)

Article Environmental Sciences

Quantifying aboveground forest carbon pools and fluxes from repeat LiDAR surveys

Andrew T. Hudak et al.

REMOTE SENSING OF ENVIRONMENT (2012)

Article Geography, Physical

Predicting individual tree attributes from airborne laser point clouds based on the random forests technique

Xiaowei Yu et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2011)

Article Forestry

Value of forest information

Annika Susanna Kangas

EUROPEAN JOURNAL OF FOREST RESEARCH (2010)

Article Forestry

Uncertainty in timber assortment estimates predicted from forest inventory data

Markus Holopainen et al.

EUROPEAN JOURNAL OF FOREST RESEARCH (2010)

Article Forestry

An improved tree height measurement technique tested on mature southern pines

Don C. Bragg

SOUTHERN JOURNAL OF APPLIED FORESTRY (2008)

Article Agricultural Engineering

Estimating biomass of individual pine trees using airborne lidar

Sorin C. Popescu

BIOMASS & BIOENERGY (2007)

Article Remote Sensing

A rigorous assessment of tree height measurements obtained using airborne lidar and conventional field methods

Hans-Erik Andersen et al.

CANADIAN JOURNAL OF REMOTE SENSING (2006)